The Support Vector (SV) learning algorithm (Boser, Guyon, Vapnik, 1992; Cortes, Vapnik, 1995; Vapnik, 1995) provides a general method for solving Pattern Recognition, Regression Estimation and Operator Inversion problems. The method is based on results i...<br /><!-- Feedsky ad --><a href="http://feed.feedsky.com/~cpm/c/yahooblog/57b0c6eb22b39dfe2d6f3478d03d5d37"><img src="http://feed.feedsky.com/~cpm/yahooblog/57b0c6eb22b39dfe2d6f3478d03d5d37/s.gif" border="0" style="margin-top:5px;" /></a><!-- /Feedsky ad -->